Molecular Pathology & Genomics

Genetic method for identifying hundreds of disease agents

A new paper compares the pathogen-detecting ability of a next-generation sequencing (NGS) system — the Respiratory Pathogen Infectious Diseases/Antimicrobial Resistance Panel (RPIP) — with a previously studied NGS system and standard of care (SOC) diagnostic methods for samples obtained with bronchoalveolar lavage.

“Gene editing via CRISPR/cas9 can lead to cell toxicity and genome instability”

CRISPR/Cas9 is a commonly used, very precise, gene editing technique often known as “genetic scissors”.

AI and ecg heart trace to predict diabetes

An artificial intelligence (AI) algorithm, derived from the features of individual heartbeats recorded on an ECG (electrocardiogram), can accurately predict diabetes and pre-diabetes, suggests preliminary research.

An electrophoresis case study

Madihah Abbas, Specialist Biochemistry Team Manager at Christie Pathology Partnership, looks at result interpretation, comparing gel and capillary zone electrophoresis.

Nanopore sequencing for rare genetic disorders

Using nanopore sequencing investigators can accurately detect specific genomic disorders in a fraction of the time it takes to conduct traditional and molecular cytogenetic testing.

My lab: encouraging and supporting research

Professor Stephen Fôn Hughes gives a guided tour of his laboratory in Wrexham, North Wales.

Characteristics of stable vitiligo skin disease

A new study reveals the unique cell-to-cell communication networks that can perpetuate inflammation and prevent repigmentation in patients with vitiligo disease.

Early disease detection using DNA droplets

A group of scientists has developed a computational DNA droplet with the ability to recognise specific combinations of chemically synthesised microRNAs (miRNAs) that act as biomarkers of tumours.

British Journal of Biomedical Science: second quarter 2022

Deputy Editor Dr Mark Hajjawi gives a round-up of the papers published over recent months.

AI potential for breast cancer screening

A major new study shows that artificial intelligence (AI) is a promising tool for breast cancer detection in screening mammography programmes.

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